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AI@Amazon - Arxiv Doc - Classification: label correlation - Concept Extraction / Linking - Embeddings - EMNLP 2019 - Entity linking - ESWC 2021 - Extractive Search - Facebook FAIR - Few-shot learning - Frequently cited paper - GitHub project - Good - Graph - Graph Embeddings - Graphs+Machine Learning - Human in the loop - Knowledge Extraction - Knowledge Graph Construction - Knowledge Graph Embeddings - Knowledge Graphs - Knowledge Graphs and NLP - Knowledge management - Locality Sensitive Hashing - Multi-label classification - Named Entity Recognition - NASA - Nearest neighbor search - Neural Search - NLP@IBM - NLP tools - OWL - Python package - PyTorch - Raphaël Sourty - Sample code - scikit-learn - Semantic Web Services - SKOS - Survey / Review - TensorFlow - Tutorial - Tweet - Yoav Goldberg -

Dev ; Data science AND Graph

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25 Documents

IBM/zshot: Zero and Few shot named entity & relationships recognition

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2022-12-23 About

Connor Shorten sur Twitter : "Wow, incredible to see this from NASA! 🚀 Weaviate's integration of Vector Search with Graph Data and Symbolic Relations is a very interesting combination of technologies!..."

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2022-08-11 About

PyKEEN, Python package for reproducible, facile knowledge graph embeddings.

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2022-08-06 About

DataBorg - Knowledge management simplified

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2022-05-14 About

SPIKE for Knowledge Base Construction

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2022-02-22 About

Yosi Shamay sur Twitter : "a new platform for rapid ad-hoc knowledgebase construction using extractive search...."

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2022-02-22 About

scikit-learn Pipelines meet Knowledge Graphs - The Python kgextension Package ESWC 2021

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2021-06-10 About

raphaelsty/ckb: Contextual knowledge bases

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2020-11-09 About

[2010.05234] A Practical Guide to Graph Neural Networks

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2020-10-15 About

Chris Mungall sur Twitter : "Reading: OWL2Vec*: Embedding of OWL Ontologies"

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2020-10-07 About

awslabs/dgl-ke: package for learning large-scale knowledge graph embeddings.

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2020-07-07 About

facebookresearch/faiss: A library for efficient similarity search and clustering of dense vectors.

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2020-06-09 About

AmbiverseNLU: A Natural Language Understanding suite by Max Planck Institute for Informatics

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2020-03-13 About

Graph Neural Networks for Natural Language Processing tutorial at EMNLP 2019

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2019-11-08 About

Introducing Neural Structured Learning in TensorFlow

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2019-09-03 About

[1905.10070] Label-aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification

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2019-06-22 About

PyTorch-BigGraph: Faster embeddings of large graphs - Facebook Code

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2019-05-12 About

Dandelion API - Semantic Text Analytics as a service

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2019-04-24 About

Tutorial on Poincaré Embeddings (Jupyter Notebook )

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2018-05-20 About

Implementing Poincaré Embeddings | RARE Technologies

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2018-05-20 About

ML-knn: A lazy learning approach to multi-label learning (2007)

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a lazy learning approach derived from the traditional [k-nearest neighbors algorithm](tag:k_nearest_neighbors_algorithm)

> for each unseen instance, its K nearest neighbors in the training set are firstly identified. After that, based on statistical information gained from the label sets of these neighboring instances, i.e. the number of neighboring instances belonging to each possible class, [Maximum a posteriori (MAP)](tag:maximum_a_posteriori_estimation) principle is utilized to determine the label set for the unseen instance.

Implemented in [scikit-multilearn](http://scikit.ml/api/skmultilearn.adapt.mlknn.html), in [java](https://github.com/lefman/mulan-extended/blob/master/mulan/src/mulan/classifier/lazy/MLkNN.java)

> the first lazy approach proposed specifically for multi-label classification. This is also a binary relevance approach which considers each label independently as a binary classification problem. Instead of a standard k-NN method, however, MLkNN uses the maximum a-posteriori (MAP) (Kelleher et al., 2015) approach combined with k-NN. [src](https://pdfs.semanticscholar.org/af9b/33da37d290c063cd826ab5923d96892a9767.pdf)

2018-03-18 About

GitHub - anvaka/word2vec-graph: Exploring word2vec embeddings as a graph of nearest neighbors

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2018-03-12 About

[1710.04099] Wembedder: Wikidata entity embedding web service

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2018-02-13 About

visualization of skos thesauri (public-esw-thes@w3.org from July 2012)

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2012-08-06 About

GraphViz and SKOS...

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2011-02-16 About